SWRL as a rule language for ontology-based models in power plant design

Virginie Fortineau (1) , Thomas Paviot (2) , Ludovic Louis-Sidney (3) , Samir Lamouri (1)

1 LCPI - Laboratoire Conception de Produits et Innovation
2 Arts et Métiers ParisTech
3 LISMMA - Laboratoire d'Ingénierie des Systèmes Mécaniques et des MAtériaux

Current standard models have improved interoperability in Product Lifecycle Management. But the increase of constrains surrounding information management in an industrial context, and notably for power plant design, like the increase of data, actors, systems and the need of automation and collaboration leads to an increasing use of ontology-based models. However, the design of power plants presents a specific issue, which is rules expression and validation. This need of rules is generated by safety, interoperability or collaboration constrains. The Semantic Web Rule Language (SWRL) is an ontological language based on OWL-DL that allows in addition rules expression. This paper presents SWRL rules and their industrial applications but also limits of this language in PLM applications. It proposes in consequence other rules languages.

Mots clés: business rules; power plant; ontology; Description Logics (DL); SWRL

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]; Ingénierie assistée par ordinateur

Virginie Fortineau, Thomas Paviot, Ludovic Louis-Sidney, Samir Lamouri. SWRL as a rule language for ontology-based models in power plant design. 9th International Conference on Product Lifecycle Management (PLM), Jul 2012, Montreal, QC, Canada. pp.588-597, ⟨10.1007/978-3-642-35758-9_53⟩. ⟨hal-00709139⟩